Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
High-level analog circuit design is a complex problem domain in which evolutionary search has recently produced encouraging results. However, little is known about how to best str...
Jason D. Lohn, Gary L. Haith, Silvano Colombano, D...
Routing as well as the management of communicationnetworks that support hybrid types of communications requiring quality of service is a very hard problem. We present here a frame...
Many approaches to learning and teaching rely upon students working in groups. Formation of optimal groups can be a time consuming and complex task, particularly when the list of ...